emagine Polska is looking for experienced AI/ML Platform Cloud Infrastructure Engineers to join a cross-functional team. The primary goal of this role is to develop and maintain a scalable AI/ML platform infrastructure on Google Cloud Platform (GCP) to support complex AI/ML workloads, ensuring high standards of security, automation, and scalability.
Key responsibilities
- Design, implement, and maintain scalable infrastructure using Terraform (HCL) with reusable modules.
- Manage infrastructure across multiple GCP projects while enforcing strict governance policies.
- Design and maintain self-hosted GitHub Actions runner infrastructure on GCP.
- Architect advanced GCP networking solutions, including VPC design and connectivity.
- Provision and manage specialized GPU infrastructure to support AI/ML model training and inference.
Requirements
- Deep expertise in Terraform (HCL) for large-scale, production-grade environments.
- Strong, hands-on experience with Google Cloud Platform (GCP) in multi-project settings.
- Proven experience in designing and managing self-hosted CI/CD platforms.
- Advanced knowledge of cloud networking principles and automation integration.
- Ability to operate autonomously with a security-first mindset and effective communication skills.
What we offer
- Opportunity to work on long-term, high-impact AI/ML infrastructure projects.
- Fully remote work environment within a professional cross-functional team.
- Exposure to advanced cloud technologies, including GPU-accelerated workloads.